Hunyuan-GameCraft - Tencent Hunyuan's open source framework for generating interactive video for next-generation games.

What is Hunyuan-GameCraft?

Hunyuan-GameCraft is Tencent Hunyuan team open source interactive game video generation framework. The framework can generate highly dynamic gameplay video from a single image and cue, supporting users to control the video content in real time through the keyboard and mouse. The framework unifies inputs into a shared camera representation space for fine-grained motion control, while training strategies with mixed history conditions to ensure long-term video consistency. With model distillation technology, it significantly improves inference speed and is suitable for real-time deployment. Hunyuan-GameCraft is trained on massive data from more than 100 AAA games, generating videos with high visual fidelity and realism, which are widely used in the fields of game video generation, playtesting, content extension, and interactive video creation.

Features of Hunyuan-GameCraft

• Highly dynamic video generation: Generate highly dynamic and interactive gameplay videos based on single images and cues, supporting real-time user control.
• motion control: Unify keyboard and mouse inputs into the camera representation space for fine-grained motion control, including speed and angle adjustments.
• coherent video sequence: It can generate long time coherent video, retain historical scene information, and ensure the long term coherence of the video.
• fast inference: Based on model distillation technology, it significantly improves inference speed, reduces latency, and supports real-time interaction.
• High-quality visual effects: Trained on a large-scale AAA game dataset, the generated videos have high visual fidelity and realism for a wide range of game scenarios and art styles.

Hunyuan-GameCraft's Core Advantages

• Efficient reasoning and real-time interaction: Based on model distillation technology significantly improves the inference speed and ensures low-latency real-time interaction experience, which is suitable for rapid response in complex interaction environments.
• High-quality visual effects: Trained on a large-scale AAA game dataset, the generated video not only has high visual fidelity, but also adapts to a wide range of game scenarios and art styles to meet different needs.
• Innovative training strategies: A hybrid historical conditional training strategy is used to effectively solve the error accumulation problem in autoregressive generation and ensure the coherence and stability of long-time video generation.
• Wide range of applicabilityThe VR/AR apps are extremely versatile and can be used for game development, testing, and content expansion, as well as for interactive video creation and VR/AR app development.
• Fine motion control: Mapping keyboard and mouse inputs to a shared camera representation space enables smooth motion interpolation and fine-grained control, enhancing the naturalness of interaction and user experience.
• Strong technology base: Combining cutting-edge technologies such as deep learning, generative modeling, and reinforcement learning, it is significantly advanced at the technical level and provides a solid guarantee for high-quality content generation.

Hunyuan-GameCraft's project address

• Project website:: https://hunyuan-gamecraft.github.io/
• GitHub repository:: https://github.com/Tencent-Hunyuan/Hunyuan-GameCraft-1.0
• HuggingFace Model Library:: https://huggingface.co/tencent/Hunyuan-GameCraft-1.0
• arXiv Technical Paper:: https://arxiv.org/pdf/2506.17201

Who is Hunyuan-GameCraft for?

• game developer: Game developers quickly generate game trailers, demo videos, and transitions to help validate game concepts and designs at an early stage, generate new levels and content for existing games, and extend game lifecycles.
• Game Tester: Game testers automatically generate game scenarios and interactive content for testing game performance and player experience, reducing the workload of manual testing and improving testing efficiency.
• content creator: Content creators generate interactive video content that provides a new viewing experience for video platforms and social media.
• gamer: Players increase the fun and engagement of the game by controlling the generated video content in real time.
• educator: Educators help students better understand and engage in the learning process by developing educationally relevant game content.